Abstract
In this paper, we propose an efficient and simple rigid-fluid coupling scheme with scientific programming algorithms for particle-based fluid simulation and three-dimensional visualization. Our approach samples the surface of rigid bodies with boundary particles that interact with fluids. It contains two procedures, that is, surface sampling and sampling relaxation, which insures uniform distribution of particles with less iterations. Furthermore, we present a rigid-fluid coupling scheme integrating individual time stepping to rigid-fluid coupling, which gains an obvious speedup compared to previous method. The experimental results demonstrate the effectiveness of our approach.
Highlights
Based fluid simulation is a popular issue in computer graphics and virtual reality while having a huge research and application demand in three-dimensional visualization and human- computer interactions
To deal with the increasing demands for more detailed fluids and high efficiency, we present rigid sampling and individual time stepping for rigid-fluid coupling and design a practical and easy rigid-fluid animation simulation scheme with our scientific programming algorithms
We proposed an efficient and simple rigid-fluid coupling scheme for particle-based fluid simulation
Summary
Based fluid simulation is a popular issue in computer graphics and virtual reality while having a huge research and application demand in three-dimensional visualization and human- computer interactions. More realistic effects and higher simulation efficiency are the main goals; reasonable, efficient, and scientific programming algorithms are needed to design and implement the animation. Two major schemes are employed for animating fluids: the gridbased Eulerian approach and particle-based Lagrangian approach. Eulerian method is suited to simulate large volumes fluid, while being restricted by time step and computing time for small scale features. Lagrangian method is suitable for capturing small scale effects such as spindrift and droplet. Among various particlebased approaches, Smoothed Particle Hydrodynamics (SPH) is the most popular method for simulating fluid due to computational simplicity and efficiency
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